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mmeta (version 3.0.1)

Multivariate Meta-Analysis

Description

Multiple 2 by 2 tables often arise in meta-analysis which combines statistical evidence from multiple studies. Two risks within the same study are possibly correlated because they share some common factors such as environment and population structure. This package implements a set of novel Bayesian approaches for multivariate meta analysis when the risks within the same study are independent or correlated. The exact posterior inference of odds ratio, relative risk, and risk difference given either a single 2 by 2 table or multiple 2 by 2 tables is provided. Luo, Chen, Su, Chu, (2014) , Chen, Luo, (2011) , Chen, Chu, Luo, Nie, Chen, (2015) , Chen, Luo, Chu, Su, Nie, (2014) , Chen, Luo, Chu, Wei, (2013) .

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Version

Install

install.packages('mmeta')

Monthly Downloads

296

Version

3.0.1

License

GPL (>= 2)

Maintainer

Jiajie Chen

Last Published

February 27th, 2025

Functions in mmeta (3.0.1)

MultipleTables.create

Create an object of class MultipleTables.
SingleTable.modelFit

Exact posterior inference based on a single 2x2 table
SingleTable.create

Create an object of class singletable.
SingleTable.plot

Plot Method for singletable objects.
colorectal

Studies on the Association of N-acetyltransferase 2 (NAT2) Acetylation Status and Colorectal Cancer
SingleTable.summary

Summarize the object of class singletable.
MultipleTables.summary

Summarize the object of class MultipleTables.
MultipleTables.plot

Plot Method for Multipletables objects
MultipleTables.modelFit

Exact posterior inference based on multiple 2x2 tables.
diabetes

Studies on the Association of Gestational Diabetes Mellitus (GDM) and Type 2 Diabetes Mellitus (T2DM)
withdrawal

Studies on the association of withdrawal from study due to adverse events and tricyclic treatment